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Volume 41 Issue 12
Dec.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(12): 2288-2295.
CHANG Zheng, WANG Yongmei, TIAN Tian, et al. Modeling technology of radiation belt in LEO based on data gridding methods[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2288-2295. doi: 10.13700/j.bh.1001-5965.2014.0799(in Chinese)
Citation: CHANG Zheng, WANG Yongmei, TIAN Tian, et al. Modeling technology of radiation belt in LEO based on data gridding methods[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2288-2295. doi: 10.13700/j.bh.1001-5965.2014.0799(in Chinese)
shu

Modeling technology of radiation belt in LEO based on data gridding methods

doi: 10.13700/j.bh.1001-5965.2014.0799
  • 1.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

  • 2. College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China

  • 3. Unit 61741, Beijing 100094, China

  • Received Date: 17 Dec 2014
  • Rev Recd Date: 05 Jan 2015
  • Publish Date: 20 Dec 2015
    Abstract
  • The energetic charged particle in the radiation belts of earth is the main environmental factor which can result in performance degradation and even failure of the material and device on spacecraft, so the accuracy of radiation belts model which is being used during design phase of spacecraft is very important to spacecraft performance of space mission and survivability. In the development of radiation belts model based on our own country's data from exploration of radiation belts, the gridding of discrete data is a fundamental task. The key facts of data from Chinese exploration of radiation belts were introduced, the goal and road-map of modeling were described, the application of interpolation in gridding of modeling of radiation belts in low-earth orbit(LEO) was discussed, and the significant errors were analysed. The result of interpolation indicates that in mainly interpolation methods, inverse distance weighting (IDW), natural neighbor and nearest neighbor are most suitable for engineering calculation, the particle flux which is inverted from data grid produced by IDW has the highest precision, and the result from IDW will be more accurate when IDW uses small exponent of distance.

     

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